Audio
audacity
Audio Editor
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Anleitung ansehen →RealtimeSTT ist ein Open-Source-Projekt aus der Kategorie Audio von KoljaB (KoljaB/RealtimeSTT auf GitHub). Es hat 10.158 Sterne auf GitHub und 861 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 17. September 2026 auf GitHub aktualisiert.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Live updates and low-latency processing where it matters.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Download the source and move into the project folder.
git clone https://github.com/KoljaB/RealtimeSTT.git
cd RealtimeSTTEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandAlso on this shelf: Irodori-TTS — Expressive TTS where emojis steer the speaking style. Readers working through the Audio shelf also stop at book, a book by the HardHacker Labs team chronicling how their product Podwise grew. The Audio shelf also holds vonage-php-sdk-core — Official Vonage PHP SDK for SMS, voice, TTS, and 2FA APIs.
It is an open-source project at KoljaB/RealtimeSTT with 861 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Dozens; English is strongest, major world languages are solid.
Audio Editor
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Chatterbox — Resemble AI's open-source TTS family: expressive text-to-speech and voice cloning, multilingual V3, low-latency Turbo and tiny Nano models, MIT
Instant, ultra-realistic text-to-speech from a simple local app.
Speech-to-text-to-speech for VRChat, VTubers, and streamers.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls RealtimeSTT nicht das Richtige ist.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Verwandte Projekte der Kategorie Audio im Katalog, die RealtimeSTT bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
End-to-End Speech Processing Toolkit
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
Python library for audio and music analysis
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.